A5100664138- Human Pose and Action Recognition
- Nanoplatforms for cancer theranostics
- Robotic Path Planning Algorithms
- Soft Robotics and Applications
- Robot Manipulation and Learning
- Gait Recognition and Analysis
- Balance, Gait, and Falls Prevention
- Hand Gesture Recognition Systems
- Advanced Neuroimaging Techniques and Applications
- Cerebrovascular and Carotid Artery Diseases
- Sports Performance and Training
- Advanced Nanomaterials in Catalysis
- Diabetic Foot Ulcer Assessment and Management
- Lower Extremity Biomechanics and Pathologies
- RNA modifications and cancer
- Photoacoustic and Ultrasonic Imaging
- Surface Treatment and Residual Stress
- Ergonomics and Musculoskeletal Disorders
- Wound Healing and Treatments
- Vibration and Dynamic Analysis
- Ferroptosis and cancer prognosis
- Advanced Algorithms and Applications
- Cancer Immunotherapy and Biomarkers
- Control and Dynamics of Mobile Robots
- Robotic Locomotion and Control
Southern Medical University
2021-2025
Nanfang Hospital
2021-2025
Affiliated Hospital of North Sichuan Medical College
2025
National Taipei University of Technology
2024-2025
Xuzhou Medical College
2023-2025
Affiliated Hospital of Qingdao University
2025
Qingdao University
2025
Tsinghua–Berkeley Shenzhen Institute
2025
Xinxiang Central Hospital
2025
Zhejiang University of Technology
2018-2024
This article presents an adaptive Kalman filtering approach to estimate the orientation of human body segments by using magnetic-inertial measurement units (MIMUs) with three-axis gyroscope, accelerometer, and magnetometer. In order mitigate negative impact external accelerations ferromagnetic disturbances, disturbances are modeled first-order Gauss–Markov processes, two parallel filters containing disturbance models implemented eliminate disturbances. An factor is introduced adjust process...
Graph Convolution Network (GCN) has been successfully used for 3D human pose estimation in videos. However, it is often built on the fixed human-joint affinity, according to skeleton. This may reduce adaptation capacity of GCN tackle complex spatio-temporal variations To alleviate this problem, we propose a novel Dynamical (DG-Net), which can dynamically identify and estimate by adaptively learning spatial/temporal joint relations from Different traditional graph convolution, introduce...
Prussian blue and analogs are widely used in sodium-ion batteries (SIBs). In this study, we upcycle the degraded directly into layered materials for SIBs through thermal treatment. thermally decomposes to form metal oxides, which then recrystallize oxides with metal-nitrogen bond on their surface under suitable temperature conditions. This transformation method is similar solid-state synthesis, allowing pre-addition of necessary components before material conversion optimize composition...
Integrated robotic arm system should contain both grasp and place actions. However, most grasping methods focus more on how to objects, while ignoring the placement of grasped which limits their applications in various industrial environments. In this research, we propose a model-free deep Q-learning method learn grasping-stacking strategy end-to-end from scratch. Our maps images actions through two networks: network (GNet) using observation desk pile infer gripper's position orientation for...
Objective: Vascular endothelial growth factor (VEGF), apart from its predominant roles in angiogenesis, can enhance cancer cellproliferation, but mechanisms remain elusive. The purpose of the present study was therefore to identify how VEGF regulatescancer cell proliferation. Methods: effects on proliferation were investigated with receptor 2 inhibitor, Ki8751, and breastcancer lines, MCF-7 MDA-MB-231, using flow cytometry, mass spectrometry, immunoblotting, confocal microscopy.Data analyzed...
Abstract Background Cholestasis is a common yet severe complication that occurs during the advancement of liver metastasis. However, how cholestasis impacts development, treatment, and tumor microenvironment (TME) metastasis remains to be elucidated. Methods Extrahepatic intrahepatic cholestatic mouse models with were established detect differential expression levels genes, infiltration immune cells change in bile acid-associated metabolites by using RNA-Sequencing, flowcytometry, liquid...
Bacterial infection, a complex wound microenvironment, and persistent inflammatory response in acute wounds can result delayed healing abnormal scar formation, thereby compromising the normal function aesthetic appearance of skin tissue. This issue represents one most challenging problems clinical practice. study aims to develop hydrogel dressing specifically designed for treatment wounds, providing immediate effective protection affected areas. innovation seeks offer novel advanced solution...
Introduction The altered expression of genes encoding histone acetyltransferases (HATs) and deacetylases (HDACs) has been implicated in the tumorigenesis progression various solid tumors. However, systematic characterization transcriptomic landscape clinical relevance HATs HDACs pan-cancer contexts remains lacking. Methods Transcriptome data 9,483 patients across 31 tumor types from Cancer Genome Atlas were collected for analysis. Additional glioma-specific datasets (Chinese Glioma Atlas,...
Intraoperative multispectral photoacoustic pathology assessment presents a promising approach to guide biopsy resection. In this study, we developed and validated novel technique differentiate between healthy cancerous tissues. Our method consisted of contrast calculations as function wavelength, followed by projections the resulting spectra from training data into two-dimensional space using principal component analysis create representative spectra, then calculation average cosine...
The end-to-end Human Mesh Recovery (HMR) approach has been successfully used for 3D body reconstruction. However, most HMR-based frameworks reconstruct human by directly learning mesh parameters from images or videos, while lacking explicit guidance of pose in visual data. As a result, the generated often exhibits incorrect complex activities. To tackle this problem, we propose to exploit calibrate mesh. Specifically, develop two novel Pose Calibration frameworks, i.e., Serial PC-HMR and...
Compositional action recognition which aims to identify the unseen combinations of actions and objects has recently attracted wide attention. Conventional methods bring in additional cues (e.g., dynamic motions objects) alleviate inductive bias between visual appearance human action-level labels. Besides, compared with non-compositional settings, previous only pursue higher performance compositional can not prove their generalization ability. To this end, we firstly rethink problem design a...
Early activity prediction/recognition aims to recognize action categories before they are fully conveyed. Compared full-length sequences, partial video sequences only provide insufficient discrimination information, which makes predicting the class labels for some similar activities challenging, especially when very few frames can be observed. To address this challenge, in paper, we propose a novel meta negative network, namely, Magi-Net, that utilizes contrastive learning scheme alleviate...
Combinations of different therapeutic strategies, including chemotherapy (CT), chemodynamic therapy (CDT), and photothermal (PTT), are needed to effectively address evolving drug resistance the adverse effects traditional cancer treatment. Herein, a camouflage composite nanoformulation (TCBG@PR), an antitumor agent (tubercidin, Tub) loaded into Cu-doped bioactive glasses (CBGs) subsequently camouflaged by polydopamine (PDA), red blood cell membranes (RBCm), was successfully constructed for...
Abstract Background Glioblastoma multiforme (GBM) is a devastating disease that lacks effective drugs for targeted therapy. Previously, we found the third-generation epidermal growth factor receptor (EGFR) inhibitor AZD-9291 persistently blocked activation of ERK pathway but had no inhibitory effect on phosphoinositide 3-kinase (PI3K)/Akt pathway. Given PI3K GDC-0084 being evaluated in phase I/II clinical trials GBM treatment, hypothesized combined inhibition EGFR/ERK and PI3K/Akt pathways...
In this paper, a nonlinear optimization solver is proposed to establish the human upper body motion capture system, including orientation of each bone joint and global position hip bone. 5 IMUs one Kinect are used, rotation data acceleration IMUs, skeleton pose prior fused in non-linear way. The method paper combines characteristics with high accuracy IMU stability, which can make up for dynamic, magnetically disturbed occlusion conditions. order verify practicability system firstly applied...
Glioblastoma (GBM) is a brain tumor with the highest level of malignancy and worst prognosis in central nervous system. Mitochondrial metabolism plays vital role occurrence development cancer, which provides critical substances to support anabolism. Mito-LND novel small-molecule inhibitor that can selectively inhibit energy cells. However, therapeutic effect on GBM remains unclear.The present study evaluated inhibitory growth cells elucidated its potential mechanism.The results showed could...